TwitchLeagueBert-1000k-finetuned-highlight-detection – AI Model by Epidot | AlphaNeural AI

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Epidot/
TwitchLeagueBert-1000k-finetuned-highlight-detection

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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TwitchLeagueBert-1000k-finetuned-highlight-detection

This model is a fine-tuned version of Epidot/TwitchLeagueBert-1000k on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1146
Precision: 0.4420
F1: 0.3977
Recall: 0.3614

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	F1	Recall
0.0205	1.04	20000	0.1119	0.4665	0.4689	0.4712
0.0091	2.09	40000	0.1086	0.4803	0.4447	0.4139
0.0062	3.13	60000	0.1172	0.4382	0.4192	0.4018
0.0038	4.18	80000	0.1146	0.4420	0.3977	0.3614

Framework versions

Transformers 4.18.0
Pytorch 1.7.1
Datasets 2.0.0
Tokenizers 0.12.1